H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 40 Citations 6,485 154 World Ranking 4468 National Ranking 416

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Geometry

Chi-Wing Fu spends much of his time researching Artificial intelligence, Computer vision, Algorithm, Pattern recognition and Convolutional neural network. His work in Feature extraction, Feature, Point cloud, Segmentation and Deep learning is related to Artificial intelligence. His work investigates the relationship between Segmentation and topics such as Leverage that intersect with problems in Data set and Dimension.

His Computational photography, Salient object detection and Orientation study, which is part of a larger body of work in Computer vision, is frequently linked to Natural user interface, bridging the gap between disciplines. His Algorithm research is multidisciplinary, incorporating perspectives in Motion, Burr puzzle and Orientation. His work focuses on many connections between Pattern recognition and other disciplines, such as Shadow, that overlap with his field of interest in Spatial contextual awareness, Word error rate, Entropy and Pyramid.

His most cited work include:

  • H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes (517 citations)
  • Solid texture synthesis from 2D exemplars (200 citations)
  • PU-Net: Point Cloud Upsampling Network (145 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Artificial intelligence, Pattern recognition, Computer vision, Visualization and Segmentation. His study in Convolutional neural network, Artificial neural network, Point cloud, Deep learning and Feature extraction falls under the purview of Artificial intelligence. His research in Pattern recognition intersects with topics in Feature, Pyramid, Regularization, Shadow and Benchmark.

His Computer vision research incorporates elements of Computational geometry, Computer graphics and Visibility. His work carried out in the field of Visualization brings together such families of science as Human–computer interaction and Graphics. His study in the fields of Image segmentation under the domain of Segmentation overlaps with other disciplines such as Domain.

He most often published in these fields:

  • Artificial intelligence (56.13%)
  • Pattern recognition (25.00%)
  • Computer vision (20.28%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (56.13%)
  • Pattern recognition (25.00%)
  • Segmentation (15.57%)

In recent papers he was focusing on the following fields of study:

Chi-Wing Fu mostly deals with Artificial intelligence, Pattern recognition, Segmentation, Point cloud and Artificial neural network. Chi-Wing Fu has included themes like Machine learning and Computer vision in his Artificial intelligence study. Chi-Wing Fu interconnects Visualization, Deep learning, Feature and Cluster analysis in the investigation of issues within Pattern recognition.

His Segmentation research focuses on Image segmentation in particular. His Point cloud study integrates concerns from other disciplines, such as Algorithm, Point and Graph. His Feature extraction study combines topics from a wide range of disciplines, such as Object detection and Shadow.

Between 2018 and 2021, his most popular works were:

  • PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing (138 citations)
  • Underexposed Photo Enhancement Using Deep Illumination Estimation (138 citations)
  • The Liver Tumor Segmentation Benchmark (LiTS) (133 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Computer vision
  • Geometry

His scientific interests lie mostly in Artificial intelligence, Pattern recognition, Segmentation, Point cloud and Feature extraction. His study in Deep learning, Convolutional neural network, Image segmentation, Feature and Artificial neural network are all subfields of Artificial intelligence. His Pattern recognition study combines topics in areas such as Visualization and Enhanced Data Rates for GSM Evolution.

His Segmentation study incorporates themes from Graph and Message passing. His studies examine the connections between Point cloud and genetics, as well as such issues in Point, with regards to Heuristics, Lasso, Selection and Data mining. His study in Feature extraction is interdisciplinary in nature, drawing from both Dual basis, Object detection and Shadow.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes

Xiaomeng Li;Hao Chen;Xiaojuan Qi;Qi Dou.
IEEE Transactions on Medical Imaging (2018)

636 Citations

Solid texture synthesis from 2D exemplars

Johannes Kopf;Chi-Wing Fu;Daniel Cohen-Or;Oliver Deussen.
international conference on computer graphics and interactive techniques (2007)

283 Citations

The Liver Tumor Segmentation Benchmark (LiTS)

Patrick Bilic;Patrick Ferdinand Christ;Eugene Vorontsov;Grzegorz Chlebus.
arXiv: Computer Vision and Pattern Recognition (2019)

201 Citations

A handle bar metaphor for virtual object manipulation with mid-air interaction

Peng Song;Wooi Boon Goh;William Hutama;Chi-Wing Fu.
human factors in computing systems (2012)

192 Citations

Underexposed Photo Enhancement Using Deep Illumination Estimation

Ruixing Wang;Qing Zhang;Chi-Wing Fu;Xiaoyong Shen.
computer vision and pattern recognition (2019)

151 Citations

PU-Net: Point Cloud Upsampling Network

Lequan Yu;Xianzhi Li;Chi-Wing Fu;Daniel Cohen-Or.
computer vision and pattern recognition (2018)

145 Citations

PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing

Hengshuang Zhao;Li Jiang;Chi-Wing Fu;Jiaya Jia.
computer vision and pattern recognition (2019)

138 Citations

Joint Bi-layer Optimization for Single-Image Rain Streak Removal

Lei Zhu;Chi-Wing Fu;Dani Lischinski;Pheng-Ann Heng.
international conference on computer vision (2017)

138 Citations

Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation

Lequan Yu;Shujun Wang;Xiaomeng Li;Chi Wing Fu.
medical image computing and computer-assisted intervention (2019)

128 Citations

Visualizing Mobility of Public Transportation System

Wei Zeng;Chi-Wing Fu;Stefan Mueller Arisona;Alexander Erath.
IEEE Transactions on Visualization and Computer Graphics (2014)

121 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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